Neural ensembles: role of intrinsic excitability and its plasticity

Frontiers in Cellular Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: July 31, 2024

Synaptic connectivity defines groups of neurons that engage in correlated activity during specific functional tasks. These co-active form ensembles, the operational units involved in, for example, sensory perception, motor coordination and memory (then called an

Language: Английский

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Beyond Mechanism—Extending Our Concepts of Causation in Neuroscience

European Journal of Neuroscience, Journal Year: 2025, Volume and Issue: 61(5)

Published: March 1, 2025

ABSTRACT In neuroscience, the search for causes of behaviour is often just taken to be neural mechanisms. This view typically involves three forms causal reduction: first, from ontological level cognitive processes that mechanisms; second, activity whole brain isolated parts; and third, a consideration temporally extended, historical focus on synchronic states. While modern neuroscience has made impressive progress in identifying mechanisms, providing unprecedented real‐time control behaviour, we contend this does not amount full explanation. particular, there an attendant danger eliminating our explanatory framework, even organism itself. To fully understand need what happens when different neurons are activated, but why those things happen . paper, introduce range well‐developed, non‐reductive, extended notions causality philosophy, which neuroscientists may able draw order build more complete explanations behaviour. These include concepts criterial causation, triggering versus structuring causes, constraints, macroscopic historicity, semantic causation—all which, argue, can used undergird naturalistic understanding mental causation agent causation. can, collectively, help bring cognition itself back into picture, as unto itself, while still grounding respectable scientific terms.

Language: Английский

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Beyond mechanism – extending our concepts of causation in neuroscience

Published: June 26, 2024

In neuroscience, the search for causes of behavior is often just taken to be neural mechanisms. This view typically involves three forms causal reduction: first, from ontological level cognitive processes that mechanisms; second, activity whole brain isolated parts; and third, a consideration temporally extended, historical focus on synchronic states. While modern neuroscience has made impressive progress in identifying mechanisms, providing unprecedented real-time control behavior, we contend this does not amount full explanation. particular, there an attendant danger eliminating our explanatory framework, even organism itself. To fully understand need what happens when different neurons are activated, but why those things happen. paper, introduce range well developed, non-reductive, extended notions causality philosophy, which neuroscientists may able draw order build more complete casual explanation behavior. These include concepts criterial causation, triggering versus structuring causes, constraints, macroscopic historicity, semantic causation – all which, argue, can used undergird naturalistic understanding mental agent causation. can, collectively, help bring cognition itself back into picture, as unto itself, while still grounding respectable scientific terms.

Language: Английский

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PyNeuroTrace - Python code for neural activity time series

The Journal of Open Source Software, Journal Year: 2024, Volume and Issue: 9(100), P. 6877 - 6877

Published: Aug. 15, 2024

Modern techniques for measuring neuronal activity using fluorescent biosensors and ultra-fast microscopy have allowed neuroscientists unprecedented access to neural information processing in vivo.The time series datasets generated from experiments sampling somatic action potentials populations of neurons, or full-dendritic arbor synapses, are becoming increasingly larger as new technologies allow faster acquisition rates higher temporal resolution signals.Neuronal activities sourced an ever-expanding library indicators distinct measures, including detectors calcium, membrane voltage, a range neurotransmitters neuromodulators.These impacted by their unique molecular kinetics inherent signal-to-noise properties.The quality signal data sets also instruments, which differ sensitivity rate.All these features, underlying signals, biosensor properties, microscope capabilities, must be considered during post-imaging with that can scale the size modern datasets.To address this problem, here, we describe pyNeuroTrace, open-source Python developed aid signals large sets, allows dynamic control filtering aspects mind before analyses conducted.

Language: Английский

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Identifying Neuronal Ensembles: A Graph Theoretical Approach

Neuromethods, Journal Year: 2024, Volume and Issue: unknown, P. 177 - 193

Published: Nov. 26, 2024

Language: Английский

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